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Sr. Anti Abuse Analyst
| Company | Match Group |
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| Location | Los Angeles, CA, USA |
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| Salary | $146500 – $170000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Senior |
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Requirements
- 5+ years of professional experience in Trust & Safety, Cybersecurity, Anti-Spam, Anti-Abuse, or a related field, with a strong track record of ownership and project delivery.
- Professional expertise in Python, SQL, Spark, or similar big data query tools, with the ability to build, optimize, and productionize large-scale detection systems.
- Deep knowledge of abuse threat actors and evasion tactics, with experience designing scalable, high-precision detection and remediation models.
- Proven experience leading cross-functional initiatives with Product, Engineering, and customer-facing teams to drive impactful safety improvements.
- Exceptional communication and presentation skills, especially to executive and non-subject-matter-expert audiences.
Responsibilities
- Own and lead detection areas, proactively identifying, investigating, and mitigating scaled abuse threats through data-driven insights, automation, and advanced detection techniques.
- Lead and improve the on-call incident response process, ensuring efficient triage, escalation, and resolution of emerging threats. Define best practices and enhance automated responses to minimize manual intervention.
- Monitor and investigate emerging abuse trends, linking anomalous activity to core KPIs and implementing proactive mitigation strategies.
- Mentor and guide junior team members, sharing technical expertise, developing best practices, and ensuring consistency in detection methodologies.
- Drive and deliver complex projects, from problem discovery to execution, ensuring measurable impact while continuously iterating on detection systems.
- Develop scalable, durable and efficient abuse detection systems, optimizing for complexity, precision, and performance while proactively surfacing new abuse tactics and vulnerabilities.
- Discover and address underlying abuse patterns, leveraging reports and insights from different sources to refine detection strategies and create repeatable engineering solutions.
- Collaborate with cross-functional partners (Product, Policy, Member Experience, and Engineering) to align detection strategies with broader safety initiatives.
Preferred Qualifications
- BS/MS or equivalent experience in Computer Science, Information Systems, Intelligence Studies, Cybersecurity or related field.
- Professional experience in creating and maintaining algorithms.
- Knowledge and familiarity with persistent scaled abuse threat actors.
- Experience uncovering indicators of abuse and applying creative strategies to mitigate.
- Experience in leading technical projects and mentoring junior team members.
